Goals, technology used and achievments

Sample Projects

Common stages
Step 1

Goal Setting

Analyze clearly the problem to be solved, the attached business model, what makes an successful system automation.

Step 2


Study implementation options, estimate cost and time tables, pick an optimized set.

Step 3


Implement myself fast and accurate. Hire if needed, assistance team. Build a practical management /tracking framework.

Step 4


Put the proposed release version to various tests, both internal and external (test users).

Representative Samples


No-Code based Supply Chain Workflow Automation Solution

Goals and Plan

The project focused on accelerating workflow and increasing management visibility of progress and achievements.

The implemented automation using two no-code platforms – Airtable and SmartSuite, interconnected via multiple MAKE.com scripts. In addition, the mail management system STREAK has been integrated to ensure the tracking of customer discussions and the successful completion of various workflows.

AI has been added to assist in the automated processing of PDF documents and enhanced analysis of sourcing websites.



In less than six months, a complete supply chain automation system, was delivered to in house team.

Enhanced work progress tracking system, using advanced no-code dashboards.

Advanced document processing and site interpretation achieving access to resources not available to competition.


SmartSuite No-Code Workflow Management Platform, Airtable Data Management Platform, MAKE.com automation engine, STREAK mail management system.


Automated verification is used to secure delivery and check-out, using a QR-based coding system

Goals and Plan

The project had two stages, both based on a patented QR-based identity verification method.

In stage one, I managed a sub-contracted implementation of an eCommerce delivery solution validating the accuracy and ownership of a sent package.

In stage two, the patent has been applied to automate retail check-out, using QR-identified packaging of purchased products  


A scalable, Cloud-based implementation of the patented QR processing algorithm.

Successfully implement mobile apps using both native codings (sun-contracted and later (Stage two) a no-code tool, achieving a much faster, lower-cost implementation.


FlutterFlow mobile app no-code platform, a Python-based API Server.


ML-based COVID Gating Solution using audio signature of tested person

Goals and Plan

As I joined the project, the internal Machine Learning team had a working prototype used to test the underlying model.

My goal has been to convert the prototype to field-ready MVP and enable large-scale testing.

In parallel, develop a flexible testing and reporting framework to be used by the field-resident medical teams in more than 5 different countries.


Within 6 months, transfer a lab-resident ML implementation to a Cloud-based infrastructure, in parallel to developing a fully functional end users’ mobile app.

Self-implement a low-cost, highly flexible testing and reporting system using low-code tools.


AWS, SageMaker ML Engine, WordPress + GLIDE for the testing system


Computer-Vision based Semi-Autonomous Scooter

Goals and Plan

The SCOOTO venture targeted the (then) flourishing rented scooters market, with a solution to the need to hire teams to manually pick scattered scooters and bring them to chargings points, and then return to central locations.

The solution – equip scooters with the ability to autonomously drive to charging points and to central locations, saving the need for human intervention. 

The project aimed at building a demonstrable prototype that can be shown to seed investors. 



A complete design of a practical solution, both mechanical (3-wheel design) as well as electrical (single board computer running AI-based computer vision) plus a matching business plan.

Demonstrable implementation within three months, through sub-contracted computer-vision software development.


Single-board computer running open-source robotics kernel and OpenCV.

towards actual Implementation

Common Questions & Answers

The parts managed as part of my engagement agreement depends on the venture needs and structure. It may cover just specific needs such as a revised and expanded business plan, product concept design or a launch-ready deck. Or a full responsibility for the entire process from ideation to MVP launch, managed and coordinating by me.

Normally I would mainly plan, design and manage the development process, while coding is done by a cooperatively selected method – in house, sub-contracted or overseas. However in cases where the abilities of emerging low-code /no-code tools cover the needs of the projects, I may propose to implement the MVP myself, or at least major parts of it. 

Both Project and Product management are critical components of any venture, and MVP is no exception. However if the needed experience and the acquaintance with the required technology are missing, assigning the task to an external contractor actually reduces the risk and eliminates frequent waste of time and resources. 

This depends on the complexity an role of high-quality design on the specific project. Many MVP projects can be designed by me, possibly with the help of affordable sub-contracting. More complex, high-end projects will require a professional design house.

This part is normally handled by the venture, as it requires engaging familiar community to provide an initial feedback. In some cases my involvement in the form of sub-contracting such effort is needed.

In general – yes. However small projects, focusing on MVP and implemented using low-code tools will rarely justify the application of the 2-weeks release approach and can be managed as a simple waterfall process.

I normally prepare the product-focused deck, in the form of presentations, landing pages and white papers. More complex launch processes and the handling of the digital marketing campaign are assigned to dedicated expert teams.


Have a project in mind?

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